Evidence map›Paper›PMID 30915257›Full record

ArticleJournal of pathology informatics2019

Development and Implementation of Real-Time Web-Based Dashboards in a Multisite Transfusion Service.

Jennifer S Woo, Peter Suslow, Russell Thorsen, Rosaline Ma, Sara Bakhtary, Morvarid Moayeri, Ashok Nambiar

Open access · goldAbstract read
In one paragraph

Article in Journal of pathology informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Listening to your mass spectrometer: An open-source toolkit to visualize mass spectrometer data.Journal of mass spectrometry and advances in the clinical lab · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jennifer S WooDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
Peter SuslowDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
Russell ThorsenDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
Rosaline MaDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
Sara BakhtaryDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
Morvarid MoayeriDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
Ashok NambiarDepartment of Laboratory Medicine, University of California, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn hospital transfusion services, visualization of blood product inventory in the form of web-based dashboards has the potential to improve the workflow and efficiency of blood product inventory management. While off-the-shelf "business intelligence" solutions by external vendors may offer the ability to display and analyze blood bank inventory data, laboratories may lack resources to readily access this technology. Using in-house talent, our transfusion service developed real-time, web-based dashboards to replace manual processes for managing both blood product inventory and cooler tracking at two large academic hospital blood banks.

methodsDashboards were developed using Hypertext Markup Language, Cascading Style Sheets, and Hypertext Preprocessor scripting/programming languages. Data are extracted in real time from Sunquest (v7.3) Laboratory Information Systems Database (InterSystems Cache) and are refreshed every 2 min. Data are hosted internally by our institution's web servers and are accessed on a webpage via Microsoft Group Policy shortcuts.

resultsDashboards were designed and implemented to provide a fully customizable, dynamic, and secure method of displaying blood product inventory and blood product cooler status. Transfusion service staff utilized dashboard data to maintain adequate blood product supply, modify blood product replacement orders to prevent excess inventory, and transfer short-dated blood products between our facilities to minimize wastage.

conclusionsDashboard technology can be readily implemented at hospital transfusion services with minimal capital expenditure. The implementation of real-time web-based dashboards for blood product inventory and cooler management at our centers facilitated on-demand blood product monitoring and replaced a tedious, manual process with a user-friendly and intuitive electronic tool.

Indexed as

Blood bankdashboarddata visualizationinventory managementlaboratory information system

Identifiers

PMID30915257
PMCPMC6396429
OpenAlexW2944127589

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.